CITlabModule

This project makes it possible to use the Handwriting Text Recognition (HRT) and the Layout Analysis (LA) from URO/CITlab and Planet i.s. in Transkribus fulfilling the interfaces of TranskribusInterfaces

Building

git clone https://github.com/Transkribus/CITlabModule.git
cd CITlabModule
mvn install

Requirements

general

java 1.8 or higher
planet_jar.jar of planet.de (not open available) containing basic libraries

for LA

OpenCV 3.10

for advanced LA

OpenCV 3.10
GCOC (see below)
tensorflow (see below)

for advanced HTR

tensorflow (see below)

Building GCOC dependencies for advanced LA

Ask for the GCOC.tar.gz

tar -xf GCOC.tar.gz
cd GCOC
cmake .
make install

The installation will create HOME/lib and HOME/include (if not existing), we are just interested in the lib file from HOME/lib in case of Linux, it is called libgcoj.so Put this lib somewhere java can find it (LD_LIBRARY_PATH). To add the JNI-Wrapper to your local Maven-Repo, follow:

cd JAVA
sh jar2mvnrepo.sh

Build tensorflow dependencies for advanced LA and HTR:

the dependency to tensorflow needs a c-lib (an *.so-file)
the library can be found at https://ci.tensorflow.org/view/Release/job/release-libtensorflow/TYPE=cpu-slave/
this library should match the version of the java dependency (1.3.0)
download the library and put the lib somewhere java can find it (LD_LIBRARY_PATH)
Note that compiling tensorflow on your device can make tensorflow running faster - especially if it can use gpu devices.

CITlabRostock/CITlabModule